Background: Analyzing student short-answer written justifications to conceptually challenging questions has proven helpful to understand student thinking and improve conceptual understanding. However, qualitative analyses are limited by the burden of analyzing large amounts of text. Purpose: We apply dense and sparse Large Language Models (LLMs)…

Although extensive research has focused on the perceptual abilities of second language (L2) learners, a significant gap persists in understanding how cognitive functions like phonological short-term memory (PSTM) and nonverbal intelligence (IQ) impact L2 speech perception. This study sets out to investigate the discrimination of L2 English…

Cognitive science has gathered robust evidence supporting the hypothesis that cognitive processes do not occur in an amodal format but take shape through the activation of the sensorimotor systems of the agent body, which works as simulation system upon which concepts, words, and thought are based. However, studies that have investigated the…

Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

This study aims to reveal the applicability of the theory of multiple intelligences, based on daily life problem-solving skills, in primary school fourth-grade science courses. The study was conducted using an action research design. The participant group of the research consisted of 23 students, their parents, and the classroom teacher. The data…

This paper explores the distinctions and connections between AI literacy and AI fluency, drawing parallels with the historical development of other literacies such as computer literacy and digital fluency. The paper argues that while AI literacy focuses on understanding and evaluating AI technologies, AI fluency represents a higher-order…

In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III (N = 181) to examine which WISC-V Index scores predicted children's specific and broad academic skills and if…

Misinformation can profoundly impact an individual's attitudes--sometimes even after the misinformation has been corrected. In two preregistered experiments (N[subscript 1] = 355, N[subscript 2] = 725), we investigated whether individual differences in the ability and motivation to process information thoroughly influence the impact of…

Mindset is a construct of interest for challenging learning environments, as science courses often are, in that, it has implications for behavioral responses to academic challenges. Previous work examining mindset in science learning contexts has been primarily quantitative in nature, limiting the theoretical basis for mindset perspectives…

How and why science education scholars and practitioners might use artificial intelligence (AI) in the classroom has been a controversial agenda for decades. ChatGPT, a state-of-the-art (SOTA) AI released in November 2022, has attracted global interest for its exceptionally high performance in generating human-like natural language answers to…

Previous studies indicated that when encountering academic difficulties, students with fixed intelligence mindset, experience higher levels of negative emotions and they also report significant drops in their self-esteem. Thus, the present study proposed to test whether priming students with unconditional self-acceptance (USA), reduces…

Learner behaviours often provide critical clues about learners' cognitive processes. However, the capacity of human intelligence to comprehend and intervene in learners' cognitive processes is often constrained by the subjective nature of human evaluation and the challenges of maintaining consistency and scalability. The recent widespread AI…

As educational technology advances, the role of artificial intelligence (AI) in enhancing language education becomes increasingly prominent. However, there is a scarcity of empirical research assessing how AI integration influences student engagement and contributes to the language learning performance. This mixed-methods study seeks to fill the…

The beneficial effects of nature and natural environments have been extensively researched and the findings generally support that nature and natural environments can reduce stress and improve cognitive function. To evaluate if self-reported stress levels are reduced, or if cognitive functions are enhanced among adult learners in the presence of a…

Rising interest in artificial intelligence in education reinforces the demand for evidence-based implementation. This study investigates how tutor agents' physical embodiment and anthropomorphism (student-reported sociability, animacy, agency, and disturbance) relate to affective (on-task enjoyment) and cognitive (task performance) learning within…